相关实验视频

Updated: Jul 28, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

SciSciNet:一个大规模的开放数据湖,用于科学科学研究的科学

Zihang Lin^1,2,3,4, Yian Yin^1,2,3,5, Lu Liu^1,2,3

¹Center for Science of Science and Innovation, Northwestern University, Evanston, IL, USA.

Scientific data

|June 1, 2023

概括

SciSciNet是科学科学研究的新开放数据湖,拥有超过1.34亿篇出版物和数百万个链接. 该资源旨在简化该领域研究人员的数据访问和分析.

科学领域:

* 该研究位于科学科学的跨学科领域内.
* 它专注于分析科学研究中的结构,动态和创新.

背景情况:

* 越来越多的科学科学研究兴趣是由大规模数据集的可用性推动的.
* 现有的数据集及其联系在追踪来源和相互连接以进行全面分析方面存在挑战.

研究的目的:

* 引入SciSciNet,这是一个大规模的开放数据湖,专为科学科学研究社区设计.
* 提供一个集中和可访问的资源,整合科学出版物和外部数据链接.
*促进对科学内部运作和创新模式的研究.

主要方法:

*建设一个数据湖,包括超过1.34亿个科学出版物.
* 整合数以百万计的外部链接到资金信息和公共使用数据集.
*详细记录数据预处理步骤和分析决策.

主要成果:

*SciSciNet提供了一个全面的数据集,涵盖了大量的科学出版物和相关链接.
*数据湖包括预先计算的,经常使用的与科学研究相关的科学测量.
* 文档支持使用数据湖的研究透明度和可复制性.

结论:

*SciSciNet是科学领域科学的一个有价值的基础资源.
* 它旨在降低进入障碍,减少冗余的数据处理工作,并提高研究的稳定性.
*该倡议鼓励集体贡献来丰富数据湖,促进更广泛的参与和思想多样性.

更多相关视频

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

相关概念视频

Statgraphics

Statgraphics

Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...

Statistical Analysis System (SAS)

Statistical Analysis System (SAS)

SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...

Statistical Software for Data Analysis and Clinical Trials

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...